class_docstr: Gathers and serializes an object graph.
class_docstr_tok: ["Gathers","and","serializes","an","object","graph","."]
docstr: Returns all child trackables attached to obj.
  
  Args:
    obj: A `Trackable` object.
    save_type: A string, can be 'savedmodel' or 'checkpoint'.
    **kwargs: kwargs to use when retrieving the object's children.
  
  Returns:
    Dictionary of all children attached to the object with name to trackable.
docstr_tok: ["Returns","all","child","trackables","attached","to","obj",".","Args",":","obj",":","A","`","Trackable","`","object",".","save_type",":","A","string",",","can","be","'savedmodel","'","or","'checkpoint","'",".","*","*","kwargs",":","kwargs","to","use","when","retrieving","the","object","'s","children",".","Returns",":","Dictionary","of","all","children","attached","to","the","object","with","name","to","trackable","."]
code: def children(self, obj, save_type=base.SaveType.CHECKPOINT, **kwargs):
      """Returns all child trackables attached to obj.
  
      Args:
        obj: A `Trackable` object.
        save_type: A string, can be 'savedmodel' or 'checkpoint'.
        **kwargs: kwargs to use when retrieving the object's children.
  
      Returns:
        Dictionary of all children attached to the object with name to trackable.
      """
      children = {}
      for name, ref in self.list_children(obj, **kwargs):
          children[name] = ref
      return children
  
file_path: tensorflow/tensorflow/python/checkpoint/graph_view.py
imports: import copy
  import weakref
  from tensorflow.python.checkpoint import save_util_v1
  from tensorflow.python.checkpoint import trackable_view
  from tensorflow.python.trackable import base
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 4 for calling the ObjectGraphView obj's underlying member method code with example usage: obj.children(obj, save_type) and returns: children